A scoping review of mental health and discrimination of Asian Americans and Pacific Islanders in the United States during the COVID-19 pandemic

Nature Mental Health, Journal Year: 2024, Volume and Issue: 2(2), P. 244 - 253

Published: Jan. 15, 2024

Language: Английский

---

Stacked deep learning approach for efficient SARS-CoV-2 detection in blood samples

Artificial Intelligence in Medicine, Journal Year: 2024, Volume and Issue: 148, P. 102767 - 102767

Published: Jan. 14, 2024

Language: Английский

---

The relationships of preventive behaviors and psychological resilience with depression, anxiety, and stress among university students during the COVID-19 pandemic: A two-wave longitudinal study in Shandong Province, China

Frontiers in Public Health, Journal Year: 2023, Volume and Issue: 11

Published: March 21, 2023

Studies have shown that the psychological impact of COVID-19 pandemic may lead to long-term health problems; therefore, more attention should be paid mental university students. This study aimed explore longitudinal effects preventive behaviors and resilience on Chinese college students during COVID-19.We recruited 2,948 from five universities in Shandong Province. We used a generalized estimating equation (GEE) model estimate health.In follow-up survey, prevalence anxiety (44.8% at T1 vs 41.2% T2) stress (23.0% 19.6% decreased over time, whereas depression (35.2% 36.9% increased significantly (P < 0.001). Senior were likely report (OR = 1.710, P 0.001), 0.815, 0.019), 1.385, 0.011). Among all majors, medical most 1.373, 0.021), 1.310, 0.040), 1.775, Students who wore mask outside less 0.761, 0.027) 0.686, 0.002) compared those did not wear masks. complied with standard hand-washing technique 0.628, 0.701, 0.638, maintained distance one meter queues 0.668, 0.634, Psychological was protective factor against 0.973, 0.980, 0.976, 0.001).The among follow-up, while decreased. are vulnerable groups. University continue follow relevant protect their health. Improving help maintain promote students'

Language: Английский

---

Identification of predictive patient characteristics for assessing the probability of COVID-19 in-hospital mortality

PLOS Digital Health, Journal Year: 2024, Volume and Issue: 3(4), P. e0000327 - e0000327

Published: April 23, 2024

As the world emerges from COVID-19 pandemic, there is an urgent need to understand patient factors that may be used predict occurrence of severe cases and mortality. Approximately 20% SARS-CoV-2 infections lead acute respiratory distress syndrome caused by harmful actions inflammatory mediators. Patients with are often afflicted neurologic symptoms, individuals pre-existing neurodegenerative disease have increased risk COVID-19. Although collectively, these observations point a bidirectional relationship between disorders, little known about underlying mechanisms. Here, we analyzed electronic health records 471 patients identify clinical characteristics most predictive Feature discovery was conducted training regularized logistic regression classifier serves as machine-learning model embedded feature selection capability. SHAP analysis using trained revealed small ensemble readily observable features, including associated cognitive impairment, could in-hospital mortality accuracy greater than 0.85 (expressed area under ROC curve classifier). These findings important implications for prioritization measures (and, potentially, other forms syndrome) having elevated death.

Language: Английский

---

COVID-19 Pandemic-related Racism and Mental Health among Asian Americans: An Integrative Review (Preprint)

Published: June 28, 2024

Background: Racism against Asian Americans (AAs) escalated during the COVID-19 pandemic. The degree of impact racism has on mental health and wellness among requires investigation, specifically Methods: We conducted an integrative review peer-reviewed publications in English reporting anti-Asian sentiments racism’s impacts US. Results: 28 eligible articles utilized cross-sectional survey designs with various sample sizes. is directly correlated prevalence depression anxiety experienced by victims racist acts. in-person direct (racist expression aimed at victim) lower than indirect ethnic group victim belongs to). During pandemic, incidence explicit online was racism. Conclusions: COVID-19-related exacerbated preexisting racism, contributing to worse Americans. To address this issue, we propose two main approaches: increase public awareness education about recognizable sentiments/acts, systematized racially motivated crimes guide political action. At individual level, culturally responsive trauma-informed interventions promoting cultural support cohesion for American groups will foster empowerment. These proposed actions help alleviate reducing stereotypes, empowering victims, chipping away systemic structure. Not applicable. a clinical trial.

Language: Английский

---

Decoding Perinatal Mental Health: Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health through Explainable Machine Learning

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 2, 2024

Background Perinatal mental health significantly affects mothers, infants, and families. Despite their resilience strengths, Aboriginal mothers experience disproportionate physical disparities. These result from historical ongoing impacts of colonization the resultant complex trauma. Conventional approaches to perinatal care present many barriers for who frequently feel disengaged, apprehensive unsafe. Current score-based risk-screening practices that algorithmically drive referrals, further ingrain fears including culturally biased judgments child removal. The Baby Coming You Ready (BCYR) model centred around a digitised, holistic, strengths-based assessment, was co-designed address these barriers. recent successful pilot demonstrated BCYR effectively replaced all current risk-based screens. However, professionals disproportionately rely on psychological risk scores, overlooking contextual circumstances cultural strengths mitigating protective factors. Methods To this singular reliance screening psychometrics whilst supporting strengthened considered clinical we propose sensitive eXplainable AI (XAI) solution. It combines XAI with lived experience, knowledge wisdom generate prediction support being screened. solution can identify, prioritise, weigh both maternal factors, quantify relative mental-health well-being at group individual levels. Results Different machine learning algorithms, Random Forest, K-nearest neighbour, vector machine, alongside glassbox Explainable Boosting Machine (EBM) models, were trained real life de-identified data generated during pilot. Additionally, techniques like SHAP LIME are utilised interpretability black box models. show EBM demonstrates superior performance in prediction, an accuracy 0.849, F1 score 0.771 AUC 0.821. Global explanations across entire dataset local cases, achieved through different methods, compared showed similar stable results. Conclusions This study potential enhance professionals' capability responsive reasoning improve strengthen outcomes women.

Language: Английский

---

COVID-19 Pandemic-related Racism and Mental Health among Asian Americans: An Integrative Review (Preprint)

Asian/Pacific Island Nursing Journal, Journal Year: 2024, Volume and Issue: unknown

Published: June 28, 2024

Racism against Asian Americans escalated during the COVID-19 pandemic. About 31%-91% of American adults and children reported experiencing various types racism According to Federal Bureau Investigation hate crime statistics, anti-Asian incidents increased from 158 in 2019 279 2020 746 2021. In 2022, decreased 499, corresponding downward trend The degree impact has on mental health wellness among requires investigation, specifically We aim describe racism-related problems experienced by living United States propose implementation strategies for mitigating their consequences. conducted an integrative review peer-reviewed publications English reporting sentiments racism's impacts States. 29 eligible articles report studies that utilized cross-sectional survey designs with sample sizes. is directly correlated prevalence depression anxiety victims racist acts. in-person direct (racist expression aimed at victim) lower than indirect ethnic group victim belongs to). During pandemic, incidence explicit online was racism. COVID-19-related exacerbated preexisting racism, contributing worse Americans. To address this issue, we 2 main approaches: increase public awareness education about recognizable sentiments/acts systematized racially motivated crimes guide political action. At individual level, culturally responsive, trauma-informed interventions promoting cultural support cohesion groups will foster empowerment. These proposed actions help alleviate reducing stereotypes, empowering victims, chipping away systemic structure.

Language: Английский

---